About This Project

Evidence Over Narrative

Society is trying to figure out what AI means for work and the answers keep changing.

For years I’ve wanted a single place that synthesizes what we actually know about AI’s impact on economic opportunity: not the hype, not the doom, but the evidence.

This site started as a way to track how predictions about displacement, wages, adoption, and corporate behavior evolve as new research, data, and real-world evidence emerge. It quickly grew into something more: a resource for simplifying complex economic research on how AI will impact jobs so that anyone — whether you’re a workforce leader, a parent with a college-bound kid, or just someone trying to plan — can engage with this new and unclear future in a clear-headed way.

Explore the visualizations ( job tasks, full economy, predictions ) and explainers ( J-Curve, historical context, demand elasticity, early indicators ) or chat with Gob, our friendly research-backed robot. The goal is to help the people who need it most have a more thoughtful, evidence-grounded response to what’s ahead.

Who’s behind this?

Matt Zieger built this as a personal project...to learn, know how to better advise his kids on what the future will look like for them, and to just maybe help everyone else wrestling with these questions navigate an uncertain new world. While not formally affiliated with his day job, Matt is Chief Program & Partnership Officer at the GitLab Foundation, where he leads the AI for Economic Opportunity Fund and co-founded OpportunityAI.

Matt Zieger started this as a weekend vibe coding project 228 days ago. In total this has cost $1,805.83.

Have ideas? Reach out on LinkedIn or X.

Methodology & Sources

Full documentation of how we collect, weight, combine, and present evidence across every section of the site.

Read the full methodology

Recently Added

Job Cuts Fall in September; Hiring Plans Up 3% Over 2025 On Weak Early Seasonal Hiring

Institutional·Added Oct 5, 2026

AI Labor Market Tracker: September 2026 (US)

Institutional·Added Oct 5, 2026

AI on the Factory Floor: Evidence from Manufacturing Job Postings

Research·Added Oct 2, 2026

BLS Employment Situation: August 2026

Research·Added Sep 28, 2026

Challenger Report: August Job Cuts Up 58%, Consumer Products, Food Lead

Institutional·Added Sep 28, 2026

Tracking the Impact of AI on the Labor Market (September 2026 update)

Research·Added Sep 28, 2026

The Early Impacts of AI on Employment among Recent College Graduates (NBER WP 35796)

Research·Added Sep 28, 2026

World Robotics 2026 - Industrial Robots

Institutional·Added Sep 28, 2026

Business Trends and Outlook Survey - Biweekly AI Use (cycle 202619)

Research·Added Sep 28, 2026

Cracks in the AI Thesis, Part 2 (Ramp AI Index, September 2026)

Institutional·Added Sep 28, 2026

Business Formation Statistics, August 2026

Research·Added Sep 28, 2026

Highest Number of S&P 500 Earnings Calls Citing “AI” Over the Past 10 Years

Research·Added Sep 25, 2026

Job postings show early signs of AI automation impact

Research·Added Sep 24, 2026

Rethinking Automation Risk: AI Applicability and Occupational Outcomes, 2019–24

Research·Added Sep 24, 2026

AI and Job Postings: From Destruction to Creation?

Institutional·Added Sep 24, 2026

Aggregate or Structural? Diagnosing the Rise in Unemployment (Economic Brief 26-27)

Research·Added Sep 24, 2026

How Shifts in Labor Supply and Demand Shape Outcomes for Young Workers

Research·Added Sep 24, 2026

Research: How AI Is Changing the Labor Market

Institutional·Added Sep 24, 2026

AI Exposure Isn’t Squeezing Advertised Pay in the US — It’s Boosting It

Institutional·Added Sep 24, 2026

AI plays a role in weak labor market for college graduates

Research·Added Sep 24, 2026